On the map

At the centre A swarm of untrusted volunteers on the internet could improve models and run circles around the frontier labs, because the earth has far more compute than they do. Holds Andrej Karpathy Read this korrent →

• Same subject: LLMs A language model is no substitute for a well-specified conventional algorithm, so it cannot simply be dropped into a complex problem and trusted. Holds GMGary Marcus
• Same subject: LLMs A language model is not using language at all, because language requires an intention to communicate. Holds TCTed Chiang
• Same subject: LLMs A language model's apparent mind is mostly our own bias: it predicts text, and leverages our evolved habit of attributing intentionality to anything that acts human. Holds SCSean Carroll
• Same subject: LLMs A large language model is the genetic system for language: it stores the dynamics of a structure that until now lived only across human brains. Holds SWSara Walker
• Same subject: LLMs AI-written code makes formal proof necessary, because human review of all that generated code becomes the bottleneck. Holds MKMartin Kleppmann
• Same subject: LLMs Almost every major figure in AI has now arrived at the critique of large language models he began making in 2019. Holds GMGary Marcus
• Same subject: LLMs AlphaGo and MuZero are far more impressive than large language models, because they play beyond the best humans while the models write middle-school essays. Holds GHGeorge Hotz
• Same subject: LLMs An LLM is an averaging machine, so it is good at themes and bad at exactly the un-average details that make customer research actionable. Holds JCJason Cohen